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.AI Engineer - Dexterous Manipulation(m/w/x)
Developing learning-based controllers for humanoid robots in Zurich. Hands-on robotic experience with state-of-the-art manipulation models required. Work in a young company with a focus on autonomous task performance.
Anforderungen
- Hands-on robotic experience
- Knowledge in state-of-the-art models for dexterous manipulation (Diffusion Models, Flow Matching, or Reinforcement Learning)
- Experience with ROS and perception models (plus)
- PhD or master's degree in robotics with relevant project experience
- Excellent knowledge of Python, PyTorch
- Excellent knowledge in training deep neural networks
- Hands-on experience running learning-based controllers on real robot hardware
- Good knowledge in diffusion models and transformers
- Enjoyment of working in a team
- Ability to work in a dynamic and fast-moving environment
- Willingness to take ownership of projects and decisions
Aufgaben
- Develop state-of-the-art learning-based controllers
- Deploy learning-based controllers for environment interaction
- Enhance object manipulation reliability
- Improve object manipulation flexibility
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ROS
- Python
- PyTorch
- Diffusion Models
- Flow Matching
- Reinforcement Learning
- Deep Neural Networks
- Transformers
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.AI Engineer - Dexterous Manipulation(m/w/x)
Developing learning-based controllers for humanoid robots in Zurich. Hands-on robotic experience with state-of-the-art manipulation models required. Work in a young company with a focus on autonomous task performance.
Anforderungen
- Hands-on robotic experience
- Knowledge in state-of-the-art models for dexterous manipulation (Diffusion Models, Flow Matching, or Reinforcement Learning)
- Experience with ROS and perception models (plus)
- PhD or master's degree in robotics with relevant project experience
- Excellent knowledge of Python, PyTorch
- Excellent knowledge in training deep neural networks
- Hands-on experience running learning-based controllers on real robot hardware
- Good knowledge in diffusion models and transformers
- Enjoyment of working in a team
- Ability to work in a dynamic and fast-moving environment
- Willingness to take ownership of projects and decisions
Aufgaben
- Develop state-of-the-art learning-based controllers
- Deploy learning-based controllers for environment interaction
- Enhance object manipulation reliability
- Improve object manipulation flexibility
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ROS
- Python
- PyTorch
- Diffusion Models
- Flow Matching
- Reinforcement Learning
- Deep Neural Networks
- Transformers
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Flexion Robotics
Branche
IT
Beschreibung
Flexion builds the intelligence layer for next-gen humanoid robots, accelerating their real-world deployment.
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